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PDF position : Improved methods for characterizing samples of electrolytic baths used in alumin[...]

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Canada

On-site

CAD 40,000 - 60,000

Full time

7 days ago
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Job summary

A leading Canadian research institute is offering a postdoctoral fellowship focused on materials characterization and data analysis. The selected candidate will work on innovative research with Rio Tinto, utilizing advanced techniques like X-ray diffraction and contributing to the development of new technologies. Applicants should have a PhD in engineering or related fields and a strong interest in interdisciplinary research.

Qualifications

  • Completion of doctoral degree after September 1, 2023.
  • Good experience in materials characterization methods.
  • Good experience in programming and data analysis.

Responsibilities

  • Determine carbon levels in electrolytic bath using XRD and other methods.
  • Expand characterization methods for recycled anodes.
  • Collaborate with researchers to develop solutions in materials engineering.

Skills

Data analysis
Programming
Communication
Problem-solving
Teamwork
Adaptation

Education

PhD in engineering or science (physics or materials)

Tools

Python
MATLAB
R

Job description

Interdisciplinary Institute for Technological Innovation (3IT)

Organisation/Company Université de Sherbrooke Department Interdisciplinary Institute for Technological Innovation (3IT) Research Field Chemistry » Structural chemistry Engineering » Materials engineering Physics » Metrology Mathematics » Algorithms Researcher Profile Other Profession Positions Postdoc Positions Country Canada Application Deadline 30 Jun 2025 - 00:00 (America/Toronto) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 May 2025 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Research project:

X-ray diffraction (XRD) and X-ray fluorescence (XRF) are currently the methods of choice at Rio Tinto for monitoring the electrolytic bath process. Although efficient, they have never been used to quantify the level of carbon black in the bath.

The aim of this post-doctoral project is to determine whether X-ray diffraction (XRD), used alone or in combination with other characterization methods, can be used to determine the level of carbon in samples taken from the cells. X-ray diffraction data can be combined with measurements of hue, Raman spectroscopy, total carbon and qualitative observations made by operators or on the analysis line, on the absence or presence of lint or by tank image processing. Operating data associated with the presence of lint in tanks will also be available.

The selected candidate will be responsible for better understanding the relationship between the composition of the bath, the composition and structure of the recycled anodes as well as their final properties, the research work proposes to expand the range of characterization methods actually used by Rio Tinto to characterize the electrolytic bath.

The candidate should have a strong interest in, among other things, industrial production, materials characterization (spectroscopy, etc.), massive data processing and machine learning, scientific programming and experimental work.

Work environment:

This postdoctoral fellowship will be supervised by Professors R. Gosselin and N. Braidy of the Université de Sherbrooke and a team of researchers from Rio-Tinto’s CRDA. The work will be carried out at the Interdisciplinary Institute for Technological Innovation (3IT) of Université de Sherbrooke, as well as at Rio-Tinto’s CRDA. The candidate will benefit from an exceptional research environment where students, engineers, professors and organizations work hand in hand to develop the technologies of the future in Canada.

Where to apply

E-mail Emplois-materiaux@usherbrooke.ca

Requirements

Research Field Engineering » Chemical engineering Education Level PhD or equivalent

Skills/Qualifications

Desired Profile:

  • PhD in in engineering or science in the field of physics, or materials.
  • Completed all requirements of your doctoral degree after September 1 2023
  • Good experience in development of data analysis & programming (Python, MATLAB, orR).
  • Ability to communicate both orally and in writing in English or French.
  • Strong capacity for adaptation, autonomy, teamwork and problem-solving.
  • Strong taste for design, experimental work, interdisciplinary R&D and entrepreneurship
Specific Requirements
  • Good experience in development of data analysis & programming (Python, MATLAB, orR)
  • Relevant experience in materials characterization methods (XRD, X-ray fluorescence, spectroscopy, etc.)
Languages FRENCH Level Good

Languages ENGLISH Level Good

Research Field Engineering » Chemical engineeringMathematics » Algorithms

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